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Abstract—In this paper, we investigate thoroughly the problem of aligning sequential images taken from low-altitude unmanned aerial vehicles (UAV). It is difficult because the photographic scene is no longer an approximate plane from the UAVs at low flight altitude. On this occasion, we assume the ground regions of the scene share the dominant plane, so sequential images are aligned based on the registration...
In this paper, we propose a unified classification framework for 3D urban point clouds. First of all, an efficient segmentation approach is utilized to segment 3D point clouds. For comparison, we employed two recently developed point clouds segmentation approaches. The first one is a region-growing-based segmentation algorithm by using robust saliency features and another one is a hierarchical-clustering-based...
This paper presents an method that matches points and line segments jointly on wide-baseline stereo images. In both two images to be matched, line segments are extracted and those spatially adjacent ones are intersected to generate V-junctions. To match V-junctions from the two images, we extract for each of them an affine and scale invariant local region and describe it with SIFT. The putative V-junction...
Intelligent Data Analysis (IDA) is one of the most important approaches in the field of data mining, which attracts great concerns from the researchers. Based on the basic principles of IDA and the features of datasets that IDA handles, the development of IDA is briefly summarized from three aspects, i.e., algorithm principle, the scale and type of the dataset. Moreover, the challenges facing the...
It is important to detect and recognize the traffic sign for mobile robot localization and navigation. In this paper, an algorithm frame of feature detection and matching has been developed which includes shape detection, Harris corner detection, SIFT feature matching and robust estimation method. Firstly, the color threshold segmentation algorithm in RGB color space is adopted to get the candidate...
Real-time and accurate image matching is a key to stereo vision of agricultural harvesting robots. This research is part of a pineapple harvesting robot project. In this paper, pineapples were selected as research objects and low cost binocular vision platform was constructed, fruit area of left image was got by real-time image acquisition and rapid segmentation, rapid matching of fruit area in left...
Considering the watermark as a noise, a watermark extraction model is proposed in this paper to enhance the correlation of Digimarc plug-ins in photoshop. First, an estimation of the original image for a watermarked image is obtained by TV (total variation) denoising model based on the partial differential equation. Second, watermark noise information is obtained by subtraction between the watermarked...
A new robust watermarking 3D mesh model algorithm is presented in this paper. We embed two different watermarks into a 3D mesh. One of the two watermarks is based on feature information and another is embedded by Nielson norm. The two watermarks do not disturb each other. Since the algorithm is blind, it does not need the original model during extraction. The algorithm is applied to many mesh models...
In general, a duplicated or tampered one of document can be obtained by duplicating machine. How to distinguish watermark quality from the first printing document and the duplicated or tampered one? In this paper we introduce a document watermarking arithmetic which is robust to copying. The arithmetic is based on the FMT transformation. The document is regarded as one image and is embedded 8 digitals...
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